tf.image.crop_to_bounding_box(image, offset_height, offset_width, target_height, target_width)

tf.image.crop_to_bounding_box(image, offset_height, offset_width, target_height, target_width)

See the guide: Images > Cropping

Crops an image to a specified bounding box.

This op cuts a rectangular part out of image. The top-left corner of the returned image is at offset_height, offset_width in image, and its lower-right corner is at offset_height + target_height, offset_width + target_width.

Args:

  • image: 3-D tensor with shape [height, width, channels]
  • offset_height: Vertical coordinate of the top-left corner of the result in the input.
  • offset_width: Horizontal coordinate of the top-left corner of the result in the input.
  • target_height: Height of the result.
  • target_width: Width of the result.

Returns:

3-D tensor of image with shape [target_height, target_width, channels]

Raises:

  • ValueError: If the shape of image is incompatible with the offset_* or target_* arguments, or either offset_height or offset_width is negative, or either target_height or target_width is not positive.

Defined in tensorflow/python/ops/image_ops_impl.py.